Lead Data Engineer

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

The Lead Data Engineer is responsible for designing, developing, and optimizing data infrastructure to ensure reliable pipelines, scalable architecture, and high-quality data for analytics and business needs. The role includes leading a team of data engineers, collaborating with cross-functional stakeholders, and implementing best practices in data transformation, validation, governance, and cloud-based solutions.

Duties & Responsibilities

• Lead and mentor a team of data engineers, fostering collaboration, innovation, and continuous improvement.
• Define and enforce data engineering standards, coding practices, and architectural guidelines.
• Partner with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions.
• Design and maintain high-performance ETL/ELT pipelines and workflows.
• Build and optimize data lake, data warehouse, and streaming data solutions.
• Ensure systems support structured, semi-structured, and unstructured data sources.
• Develop data transformation and preparation processes to deliver clean, reliable, analytics-ready datasets.
• Implement validation, anomaly detection, and automated quality checks to ensure accuracy and consistency.
• Define and execute data remediation strategies to resolve issues with minimal business disruption.
• Implement and manage cloud-based data platforms (AWS, Azure, or GCP).
• Apply modern frameworks (e.g., Spark, Kafka, Airflow, DBT) for efficient data processing.
• Oversee data modeling, schema design, and database optimization (SQL/NoSQL).
• Ensure accuracy, consistency, and availability of data across platforms.
• Implement governance, lineage, validation frameworks, and security best practices.
• Monitor, troubleshoot, and optimize pipelines to meet SLAs and performance benchmarks.
• Stay current with emerging data engineering and analytics technologies.
• Recommend improvements to systems, tools, and processes to enhance scalability, reliability, and quality.
• Other job-related activities that may be assigned from time to time.

Minimum Qualifications

• Total Data Engineering experience - 7- 8yrs and above
• Skilled in Python (at least 4/5 rating), SQL (at least 3/5 rating)
• Working or has experience working on modern data cloud platforms (Databricks/Snowflake)
• With exposure to cloud services (preferably Azure or AWS)
• Willing to work on a hybrid work set up in BGC Taguig